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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 15608
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    INDEX
    Explanations

    phrases related to physical movement or spatial orientation

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to movement and direction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ortunate
    -0.87
    catentry
    -0.84
    ilic
    -0.75
    bringing
    -0.75
    undai
    -0.73
     ingred
    -0.72
    achev
    -0.72
    uala
    -0.72
    rent
    -0.70
    rating
    -0.68
    POSITIVE LOGITS
     halls
    0.83
     doors
    0.70
     sidelines
    0.68
     rooft
    0.68
     dh
    0.68
     Dane
    0.67
     door
    0.67
     plank
    0.66
    ards
    0.66
     coli
    0.66
    Activations Density 0.094%

    No Known Activations